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RManLuo/

Awesome-LLM-KG

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A curated collection of papers and resources on unifying LLMs and knowledge graphs, with a focus on KG-enhanced LLMs, LLM-augmented KGs, and synergistic approaches. Includes multiple surveys and foundational works; latest activity noted in README is 2025-05-02 last push.

2.6kstars
178forks
6issues
2023since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

A repository that aggregates papers and resources about unifying large language models (LLMs) and knowledge graphs (KGs), presenting a roadmap and categorized surveys across three general frameworks: KG-enhanced LLMs, LLM-augmented KGs, and synergized LLMs + KGs.

How it works

The repo organizes content into sections such as News, Overview, Table of Contents, Related Surveys, and topic-specific subsections (KG-enhanced LLMs, LLM-augmented KGs, LLM-augmented KG-to-Text Generation, etc.). It lists representative papers and provides direct references to papers, with some links to code or datasets when available. The README includes a structured bibliography of papers and a narrative overview.

Getting started

No installation or runtime instructions are provided in the truncated README. The repository appears to be a static collection; users can browse to navigate topics and paper references. The README contains citation formatting for a key article:

@article{llm_kg,
 title={Unifying Large Language Models and Knowledge Graphs: A Roadmap},
 author={Pan, Shirui and Luo, Linhao and Wang, Yufei and Chen, Chen and Wang, Jiapu and Wu, Xindong},
 journal={IEEE Transactions on Knowledge and Data Engineering (TKDE)},
 year={2024}
}

Recent releases

RELEASES (latest 0):

  • none

Traction

stars: 2613 forks: 178 open_issues: 6

Behind the repo

Not provided in the truncated README. No explicit linked startup or company is mentioned beyond project authors.

Caveats

license: none listed. The README header shows a MIT license badge, but the top metadata indicates license: none listed. Creation date: 2023-06-07. Last push: 2025-05-02. Language: -.

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